MoKCa database--mutations of kinases in cancer.
MoKCa database--mutations of kinases in cancer.
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DOI：
10.1093/nar/gkn832
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发表时间：
2009-01
影响因子：
14.9
通讯作者：
Pearl FM
中科院分区：
文献类型：
--
作者：
Richardson CJ;Gao Q;Mitsopoulous C;Zvelebil M;Pearl LH;Pearl FM
蛋白激酶家族的成员是人类癌症中最常见的突变基因之一，并且突变的和活化的蛋白激酶都已被证明是用于开发新的抗癌疗法的易处理的靶标。已经开发了MoKCa数据库（Mutations of Kinases in Cancer，http：//strubiol.icr.ac.uk/extra/mokca）以在结构上和功能上注释并在可能的情况下预测癌症中涉及的蛋白激酶突变的表型后果。来自肿瘤和肿瘤细胞系的体细胞突变数据已经映射到受影响蛋白质结构域的晶体结构上。突变氨基酸的位置在基于序列的结构域象形图上突出显示，以及蛋白质结构的3D图像，并在分子图形包中集成以进行交互式查看。与每个突变相关的数据在Web界面中呈现，沿着专家注释该突变的详细分子功能含义。蛋白质与功能注释资源相关联，并使用结构和功能特征（如结构域和磷酸化位点）进行注释。MoKCa旨在为每个潜在的癌症相关突变提供来自多个来源和算法的评估，并以一致和连贯的方式将这些评估放在一起，以促进癌症生物学家和结构生物学家的权威注释，直接参与新突变数据的生成和分析。
Members of the protein kinase family are amongst the most commonly mutated genes in human cancer, and both mutated and activated protein kinases have proved to be tractable targets for the development of new anticancer therapies The MoKCa database (Mutations of Kinases in Cancer, http://strubiol.icr.ac.uk/extra/mokca) has been developed to structurally and functionally annotate, and where possible predict, the phenotypic consequences of mutations in protein kinases implicated in cancer. Somatic mutation data from tumours and tumour cell lines have been mapped onto the crystal structures of the affected protein domains. Positions of the mutated amino-acids are highlighted on a sequence-based domain pictogram, as well as a 3D-image of the protein structure, and in a molecular graphics package, integrated for interactive viewing. The data associated with each mutation is presented in the Web interface, along with expert annotation of the detailed molecular functional implications of the mutation. Proteins are linked to functional annotation resources and are annotated with structural and functional features such as domains and phosphorylation sites. MoKCa aims to provide assessments available from multiple sources and algorithms for each potential cancer-associated mutation, and present these together in a consistent and coherent fashion to facilitate authoritative annotation by cancer biologists and structural biologists, directly involved in the generation and analysis of new mutational data.
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影响因子：
14.9
作者：
Bruford, Elspeth A.;Lush, Michael J.;Wright, Mathew W.;Sneddon, Tam P.;Povey, Sue;Birney, Ewan
通讯作者：
Birney, Ewan
影响因子：
14.9
作者：
UniProt Consortium
通讯作者：
UniProt Consortium
影响因子：
14.9
作者：
Chatr-aryamontri, Andrew;Ceol, Arnaud;Palazzi, Luisa Montecchi;Nardelli, Giuliano;Schneider, Maria Victoria;Castagnoli, Luisa;Cesareni, Gianni
通讯作者：
Cesareni, Gianni
影响因子：
14.9
作者：
Flicek P;Aken BL;Beal K;Ballester B;Caccamo M;Chen Y;Clarke L;Coates G;Cunningham F;Cutts T;Down T;Dyer SC;Eyre T;Fitzgerald S;Fernandez-Banet J;Gräf S;Haider S;Hammond M;Holland R;Howe KL;Howe K;Johnson N;Jenkinson A;Kähäri A;Keefe D;Kokocinski F;Kulesha E;Lawson D;Longden I;Megy K;Meidl P;Overduin B;Parker A;Pritchard B;Prlic A;Rice S;Rios D;Schuster M;Sealy I;Slater G;Smedley D;Spudich G;Trevanion S;Vilella AJ;Vogel J;White S;Wood M;Birney E;Cox T;Curwen V;Durbin R;Fernandez-Suarez XM;Herrero J;Hubbard TJ;Kasprzyk A;Proctor G;Smith J;Ureta-Vidal A;Searle S
通讯作者：
Searle S
影响因子：
14.9
作者：
Hulo N;Bairoch A;Bulliard V;Cerutti L;Cuche BA;de Castro E;Lachaize C;Langendijk-Genevaux PS;Sigrist CJ
通讯作者：
Sigrist CJ